DocumentCode :
1670262
Title :
Sparsity-based DOA estimation using co-prime arrays
Author :
Zhang, Yimin D. ; Amin, Moeness G. ; Himed, Braham
Author_Institution :
Center for Adv. Commun., Villanova Univ., Villanova, PA, USA
fYear :
2013
Firstpage :
3967
Lastpage :
3971
Abstract :
In this paper, we propose co-prime arrays for effective direction-of-arrival (DOA) estimation. To fully utilize the virtual aperture achieved in the difference co-array constructed from a co-prime array structure, sparsity-based spatial spectrum estimation technique is exploited. Compared to existing techniques, the proposed technique achieves better utilization of the co-array aperture and thus results in increased degrees-of-freedom as well as improved DOA estimation performance.
Keywords :
array signal processing; compressed sensing; direction-of-arrival estimation; spectral analysis; co-prime array structure; degrees of freedom; direction-of-arrival estimation; sparsity-based DOA estimation; sparsity-based spatial spectrum estimation technique; Covariance matrices; Direction-of-arrival estimation; Estimation; Sensor arrays; Vectors; Co-prime array; compressive sensing; difference co-array; direction finding; sparse array;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2013.6638403
Filename :
6638403
Link To Document :
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